Ir al contenido

Documat


A Multivariate Analysis Approach to Forecasts Combination. Application to Foreign Exchange (FX) Markets

  • CARLOS G. MATÉ [1]
    1. [1] Universidad Pontificia Comillas

      Universidad Pontificia Comillas

      Madrid, España

  • Localización: Revista Colombiana de Estadística, ISSN-e 2389-8976, ISSN 0120-1751, Vol. 34, Nº. 2, 2011, págs. 347-375
  • Idioma: inglés
  • Títulos paralelos:
    • Una aproximación a la combinación de pronósticos basada en técnicas de análisis multivariante
  • Enlaces
  • Resumen
    • español

      El cálculo de pronósticos se caracteriza por la disponibilidad de muchos métodos y porque los horizontes de los pronósticos o las predicciones (económicas, tecnológicas, etc.) son cada vez más diferentes. Combinar pronósticos es una metodología adecuada para manejar el escenario anterior, el cual es conceptualmente adecuado para la aplicación de varios métodos de análisis multivariante. Este artículo revisa algunos problemas principales al combinar pronósticos de manera eficiente, empleando el marco del análisis multivariante. En concreto, se propone una metodología para generar pronósticos combinados con un gran número de pronósticos y se analiza una aplicación al mercado de divisas. Se valora la utilidad de esta metodología en finanzas y varios contextos prácticos, abriéndose posibilidades futuras de investigación a otros contextos aplicados, como los mercados de energía.

    • English

      Forecasting is characterized by the availability of a lot of methods and the fact that technological and economic forecast horizons are increasingly more different from each other. Combining forecasts is an adequate methodology for handling the above scenario, which is conceptually suitable for the application of several methods of multivariate analysis. This paper reviews some main problems in combining forecasts efficiently from the multivariate analysis view. In particular, a methodology to produce combined forecasts with a large number of forecasts is proposed. The usefulness of such a methodology is assessed in exchange rates forecasting. Further research is suggested for finance as well as for other practical contexts such as energy markets.

  • Referencias bibliográficas
    • Andrawis, R. R.,Atiya, A. F.,El-Shishiny, H.. (2011). `Combination of long term and short term forecasts, with application to tourism...
    • Arinze, B.. (1994). `Selecting appropriate forecasting models using rule induction´. Omega. 22. 647-658
    • Armstrong, J. S.. (2001). `Principles of Forecasting: A Handbook for Researchers and Practitioners´. Kluwer Academic Publishers. Norwell....
    • Armstrong, J. S.,Adya, M.,Collopy, F.. (2001). `Principles of Forecasting: A Handbook for Researchers and Practitioners´. Kluwer Academic...
    • Bank for International Settlements. (2001). `Central bank survy of foreign exhcange and derivatives market activity in april 2001´. Press...
    • Basilevsky, A.. (2004). Statistical Factor Analysis and Related Methods. Theory and Applications. John Wiley & Sons.
    • Bates, J.,Granger, C.. (1969). `The combination of forecasts´. Operations Research Quarterly. 20. 451-468
    • Bunn, D. W.. (1988). `Combining forecasts´. European Journal of Operational Research. 33. 223-229
    • Bunn, D. W.. (1989). `Forecasting with more than one model´. Journal of Forecasting. 8. 161-166
    • Clemen, R. T.. (1989). `Combining forecasts: a review and annotated bibliography´. International Journal of Forecasting. 5. 559-583
    • Clemen, R. T.,Winkler, R. L.. (1986). `Combining economic forecasts´. Journal of Business and Economic Statistics. 4. 39-46
    • Collopy, F.,Adya, M.,Armstrong, J. S.. (2001). Expert Systems for Forecasting. In Principles of Forecasting: A Handbook for Researchers and...
    • Collopy, F.,Armstrong, J. S.. (1992). `Rule-based forecasting: development and validation of an expert system approach to combining time...
    • Diebold, F. X.. (2001). Elements of Forecasting. South-Western. Cincinantti.
    • Donaldson, R. G.,Kamstra, M.. (1996). `Forecast combining with neural networks´. Journal of Forecasting. 15. 49-61
    • Dunis, C.,Williams, M.. (2005). `Modelling and trading the EUR/USD exchange rate: do neural network models perform better?´. Derivatives...
    • Elliott, G.,Granger, C. W. J.,Timmerman, A.. (2006). Handbook of Economic Forecasting. Elsevier.
    • Eun, C. S.,Sabherwal, S.. (2002). `Forecasting exchange rates: do banks know better?´. Global Finance Journal. 13. 195-215
    • Gorsuch, R. L.. (1983). Factor Analysis. Lawrence Erlbaum Associates. Hillsdale.
    • Granger, C. W. J.,Ramanathan, R.. (1984). `Improved methods of combining forecasts´. Journal of Forecasting. 3. 197-204
    • Hahn, H.,Meyer-Nieberg, S.,Pickl, S.. (2009). `Electric load forecasting methods: tools for decision making´. European Journal of Operational...
    • Hair, J. F. J.,Anderson, R. E.,Tatham, R. L.,Black, W. C.. (1998). Multivariate Data Analysis with Readings. 5. Prentice Hall: Englewood Cliffs....
    • Jobson, J. D.. (1992). Applied Multivariate Data Analysis. Vol. II: Categorical and Multivariate Methods. Springer-Verlag.
    • Johnson, R. A.,Wichern, D. W.. (2002). Applied Multivariate Statistical Analysis. 5. Prentice Hall: Englewood Cliffs.
    • Kang, I. B.. (2003). `Multi-period forecasting using different models for different horizons: an application to U.S. economic time series...
    • Kapetanios, G.,Labhard, V.,Price, S.. (2008). `Forecast combination and the bank of England's suite of statistical forecasting models´....
    • Kilian, L.,Taylor, M. P.. (2003). `Why is it difficult to beat the random walk forecast of exchange rates?´. Journal of International...
    • King, M. R.,Rime, D.. (2010). `The \4 trillion question: what explains FX growth since the 2007 survey?´. BIS Quarterly Review. 27-42
    • Kusiak, A.,Li, W.. (2010). `Short-term prediction of wind power with a clustering approach´. Renewable Energy. 35. 2362-2369
    • Makridakis, S.,Wheelwright, S. C.,Hyndman, R.. (1998). Forecasting Methods and Applications. John Wiley & Sons.
    • Makridakis, S.,Winkler, R. L.. (1983). `Averages of forecasts: some empirical results´. Management Science. 29. 987-996
    • Maté, C.,Calderón, R.. (2000). `Exploring the characteristics of rotating electric machines with factor analysis´. Journal of Applied...
    • Pindyck, R. S.. (1999). `Long-run evolution of energy prices´. Energy Journal. 20. 1-27
    • Poncela, P.,Rodríguez, J.,Sánchez-Mangas, R.,Senra, E.. (2011). `Forecast combination through dimension reduction techniques´. International...
    • Posen, A. S.. (2004). `Avoiding a currency war´. The International Economy. 10-15
    • Ramanathan, R.,Engle, R.,Granger, C. W. J.,Vahid-Araghi, F.,Brace, C.. (1997). `Short-run forecasts of electricity loads and peaks´. International...
    • Rapach, D. E.,Strauss, J. K.. (2008). `Forecasting U.S. employment growth using forecast combining methods´. Journal of Forecasting. 27....
    • Rencher, A. C.. (2002). Methods of Multivariate Analysis. John Wiley & Sons.
    • Sánchez-Ubeda, E. F.,Berzosa, A.. (2007). `Modeling and forecasting industrial end-use natural gas consumption´. Energy Economics. 29....
    • Tabachnik, B. G.,Fidell, L.. (1996). Using Multivariate Statistics. 3. HarperCollins Publishers.
    • Timmerman, A.. (2006). `Handbook of Economic Forecasting´. Elsevier.
    • Venkatachalam, A. R.,Sohl, J. E.. (1999). `An intelligent model selection and forecasting system´. Journal of Forecasting. 18. 167-180
    • Winkler, R. L.,Makridakis, S.. (1983). `The combination of forecasts´. Journal of the Royal Statistical Society, Series A. 146. 150-157
    • Winklhofer, H.,Diamantopoulos, A.,Witt, S.. (1996). `Forecasting practice: a review of the empirical literature and an agenda for future...
    • Zhao, J. H.,Dong, Z. Y.,Xu, Z.,Wong, K. P.. (2008). `A statistical approach for interval forecasting of the electricity price´. IEEE Transactions...
    • de Menezes, L. M.,Bunn, D. W.,Taylor, J. W.. (2000). `Review of guidelines for the use of combined forecasts´. European Journal of Operational...
Los metadatos del artículo han sido obtenidos de SciELO Colombia

Fundación Dialnet

Mi Documat

Opciones de artículo

Opciones de compartir

Opciones de entorno